{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in c:\\programdata\\anaconda3\\lib\\site-packages (1.0.1)\n",
      "Requirement already satisfied: pytz>=2017.2 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2019.3)\n",
      "Requirement already satisfied: numpy>=1.13.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (1.18.1)\n",
      "Requirement already satisfied: python-dateutil>=2.6.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2.8.1)\n",
      "Requirement already satisfied: six>=1.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)\n",
      "Requirement already satisfied: matplotlib in c:\\programdata\\anaconda3\\lib\\site-packages (3.1.3)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.1.0)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (0.10.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (2.8.1)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (2.4.6)\n",
      "Requirement already satisfied: numpy>=1.11 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.18.1)\n",
      "Requirement already satisfied: setuptools in c:\\programdata\\anaconda3\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0.post20200210)\n",
      "Requirement already satisfied: six in c:\\programdata\\anaconda3\\lib\\site-packages (from cycler>=0.10->matplotlib) (1.14.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas\n",
    "!pip install matplotlib\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#1. iris数据集，画出sepal_length字段，将直方图和密度图画在一张图里。\n",
    "import matplotlib.pyplot as plt\n",
    "url = 'https://www.gairuo.com/file/data/dataset/iris.data'\n",
    "df = pd.read_csv(url)\n",
    "\n",
    "ax = df['sepal_length'].plot.hist(density=True)\n",
    "df['sepal_length'].plot.kde(ax = ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c72320e88>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#2. 数据2 中北京、上海、江苏、广东四个省的数据，画出线图、柱状图、饼图其中线图画所有年份趋势， 柱状图画2016年四省对比，饼图画所有年汇总\n",
    "# import matplotlib.pyplot as plt\n",
    "import matplotlib.pyplot as plt\n",
    "# import seaborn as sns\n",
    "\n",
    "plt.rcParams['font.family'] = ['sans-serif']\n",
    "plt.rcParams['font.size'] = '14'\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "gdf = pd.read_csv(r'C:/Users/PC/Desktop/实验数据/gdp.csv').set_index('province')\n",
    "four = gdf.iloc[[0,8,9,18]]\n",
    "four.T.sort_index().plot.line()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c72398748>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "four['2016y'].plot.bar(rot = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c723ede08>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "four.T.sum().plot.pie()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c72471f88>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3. 数据1中，去掉第一行全国数据。通过散点图找出和forcible_rape最相关和最不相\t\t关的两列（相关就是y轴随X轴变化），以两个子图形式画出，且每个点大小用\t\tpopulation除以300000来控制。\n",
    "crime = pd.read_csv(\"C:/Users/PC/Desktop/实验数据/crime.csv\").loc[1:]\n",
    "fig, axes = plt.subplots(1,2)\n",
    "\n",
    "crime.plot.scatter(x = 'forcible_rape', y = 'murder', s = crime['population']//300000,ax = axes[0])\n",
    "crime.plot.scatter(x = 'forcible_rape', y = 'burglary', s = crime['population']//300000 ,ax = axes[1])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: matplotlib\n",
      "Version: 3.1.3\n",
      "Summary: Python plotting package\n",
      "Home-page: https://matplotlib.org\n",
      "Author: John D. Hunter, Michael Droettboom\n",
      "Author-email: matplotlib-users@python.org\n",
      "License: PSF\n",
      "Location: c:\\programdata\\anaconda3\\lib\\site-packages\n",
      "Requires: kiwisolver, python-dateutil, pyparsing, cycler, numpy\n",
      "Required-by: seaborn, scikit-image\n"
     ]
    }
   ],
   "source": [
    "!pip show matplotlib\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
